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MEMS Sensor Spoofing Defense Patent Snapshot 2026

MEMS Sensor Spoofing Defense Patent Snapshot 2026
Evidence Snapshot
MEMS Sensor Spoofing Defense Patent Snapshot in 2026

The MEMS sensor spoofing defense field is in an early-growth stage with 9 patent families in scope, dominated almost entirely by Texas Instruments. Activity is expanding on a multi-year basis, though annual volume eased from its 2023 peak and the most recent years carry additional undercount from publication lag.

9
Patent families in scope
N/A
Concentration not assessed
N/A
Growth trend not assessed
United States
Leading jurisdiction
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Published byPatsnap Insights Team··5 min readVerified by Patsnap Eureka data
Overview

Texas Instruments holds commanding lead in a nascent field

Texas Instruments is the clear leader, holding the top position in applicant rankings. The University of Michigan and the Council of Scientific and Industrial Research each hold smaller positions, making the field highly concentrated at the top.

The top five filers account for 100% of the ranked applicants visible in this query’ combined total, signaling an extremely tight visible assignee structure with virtually no mid-tier challengers yet established.

Leading applicants
#ApplicantPatent recordsShare
1Texas Instruments Incorporated8
2Regents of the University of Michigan2
3COUNCIL OF SCI & IND RES1
↗ Hover a row · click a company to ask Eureka

Texas Instruments’ commanding position implies it has set foundational technical directions in this space; new entrants will need to differentiate around adjacent or complementary approaches to avoid direct overlap.

The most recent 18–24 months of filing data are likely under-represented due to standard patent publication lag; the apparent drop in 20242026 should not be interpreted as declining interest. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: Patsnap Eureka. Chart shows the top applicants ranked by patent records; the corpus total is measured in patent families. These figures use different units and should not be compared directly. This same dataset is now available on Patsnap Open Platform via MCP.Connect via MCP →
Trends & Structure

Multi-year growth with navigation and inertial sensing at the core

Annual filings show a field that has grown meaningfully since 2017, with a notable cluster around 2022–2023; the technology mix is anchored by inertial and navigation sensing classes, with digital processing playing a secondary but material role.

Annual filing trend

Filings were sporadic from 2017 through 2021, then accelerated to a 2023 peak of 3 records before dropping in 2024–2026 — a pattern consistent with publication lag rather than a genuine reversal. The 150% recent-window growth rate confirms the multi-year expansion remains intact.

Annual filing trendAnnual values from 2017 to 2026, peaking at 3 in 2023.22017020182201902020020212202232023020240202502026↗ Hover for values · click a bar to ask Eureka

Technology composition

G01P (velocity and acceleration) is the visible branch, followed closely by G01C (navigation and gyroscopes) and G06F (digital data processing), reflecting that spoofing defenses rely heavily on inertial signal validation and algorithmic detection. Medical (A61B) and automotive steering (B62D) each appear at the margins, indicating early but limited cross-sector reach.

Technology compositionG01P · Velocity & acceleration leads with 11; G01C · Distance, navigation & gyroscopes 8.G01P · Velocity & accele…11G01C · Distance, navigat…8G06F · Electric digital …8G01F · Flow, level & vol…4A61B · Diagnosis & surgery1B62D · Motor vehicles & …1↗ Hover for values · click a bar to ask Eureka
Source: Patsnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US20200300883A1Published 2020-09-24

Protecting motion sensors from acoustic injection …

The Regents Of The University Of Michigan

Cyber-physical systems depend on sensors to make automated decisions. Resonant acoustic injection attacks are already known to cause malfunctions by disabling MEMS-based gyroscopes. However, an open question remains on how to move beyond denial of service attacks to achieve full adversarial control of sensor outputs. This work investigates how analog… (excerpt from the patent abstract)

Protecting motion sensors from acoustic injection … — patent drawingProtecting motion sensors from acoustic injection … — patent drawing
Representative drawings from the patent document.
Open this patent in Eureka →
Highly cited patent families surfaced by this query
#PatentCitations
1Robust step detection using low cost MEMS accelero…211
2Robust step detection using low cost MEMS accelero…8
3Protecting motion sensors from acoustic injection …5
4Robust step detection using low cost MEMS accelero…2

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: Patsnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Visible assignees

Assignee snapshot from the current evidence set

The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.

Leader · Texas Instruments

Texas Instruments

Texas Instruments holds 8 patent records and focuses on navigation and gyroscope sensing (G01C 21, G01C 22) alongside velocity and acceleration measurement (G01P 15), indicating a defense strategy built around validating inertial navigation outputs. Momentum data classifies the company as a new entrant in recent filings, consistent with a deliberate, recent build-out of this portfolio rather than a long-standing effort.

patent records: 8
Challenger · University of Michigan

University of Michigan (Regents)

The University of Michigan holds 2 patent records with technology emphasis in velocity and acceleration measurement (G01P 13, G01P 15), suggesting foundational research into detecting anomalous inertial signals. As an academic actor, its patents may represent licensing opportunities or technology-transfer pathways for industrial players seeking to broaden their defensive coverage.

patent records: 2
🔍
More assignee evidence is available in Eureka
Use Eureka to validate whether these visible assignees remain central after refining the query scope and adding related patent classes.
Texas InstrumentsCouncil of Scientific and Industrial Research+ more
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Source: Patsnap Eureka. Assignee evidence is drawn from the current PatSnap Eureka query. In small evidence sets, applicant counts should be treated as directional signals, not a complete competitive ranking.Explore players →
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Frequently asked questions

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This report’s underlying patent dataset — filings, assignees, technology clusters — is open for developers via MCP and REST API. Free to start, 10,000 credits, no credit card required.

Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

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